Ismael López-Juárez
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- Industrial Vision Systems and Defect Detection 17
- Manufacturing Process and Optimization 9
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- Robot Manipulation and Learning 24
- Fault Detection and Control Systems 10
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- Image and Object Detection Techniques 7
- Artificial Intelligence top 10%
- Fuzzy Logic and Control Systems 10
- Neural Networks and Applications 10
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- Robotics and Sensor-Based Localization 12
- Co-authors
- Reyes Rìos-CabreraGastón LefrancGerardo Maximiliano MéndezM. HowarthJorge Corona‐CastueraPatricia MelínOscar CastilloAmérica Berenice Morales-Díaz
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Partner nations
- MexicoChileUnited Kingdom
In The Last Decade
Ismael López-Juárez
69 papers receiving 466 citations
Peers
Comparison fields: 5 of 72
- Industrial and Manufacturing Engineering 126
- Control and Systems Engineering 204
- Computer Vision and Pattern Recognition 118
- Artificial Intelligence 114
- Mechanical Engineering 129
Countries citing papers authored by Ismael López-Juárez
This map shows the geographic impact of Ismael López-Juárez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ismael López-Juárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ismael López-Juárez more than expected).
Fields of papers citing papers by Ismael López-Juárez
This network shows the impact of papers produced by Ismael López-Juárez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ismael López-Juárez. The network helps show where Ismael López-Juárez may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Ismael López-Juárez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 1 | |
| 10 | 2018 | 34 | |
| 11 | 2016 | 2 | |
| 12 | 2015 | 19 | |
| 13 | 2015 | 3 | |
| 14 | 2015 | 31 | |
| 15 | 2015 | 1 | |
| 16 | 2012 | 0 | |
| 17 | 2010 | 4 | |
| 18 | 2007 | 2 | |
| 19 | 2006 | 12 | |
| 20 | Un Proceso de Aprendizaje para Reconocimiento de Objetos en Línea en Tareas Robotizadas | 2004 | 1 |
About Ismael López-Juárez
Ismael López-Juárez is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 504 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (24 papers), Industrial Vision Systems and Defect Detection (17 papers), Robotics and Sensor-Based Localization (12 papers), Fault Detection and Control Systems (10 papers), Fuzzy Logic and Control Systems (10 papers), Neural Networks and Applications (10 papers), Manufacturing Process and Optimization (9 papers) and Image and Object Detection Techniques (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (126 citations), Control and Systems Engineering (204 citations) and Computer Vision and Pattern Recognition (118 citations). Ismael López-Juárez has collaborated with scholars based in Mexico, Chile and United Kingdom. Frequent co-authors include Reyes Rìos-Cabrera, Gastón Lefranc, Gerardo Maximiliano Méndez, M. Howarth, Jorge Corona‐Castuera, Patricia Melín, Oscar Castillo, América Berenice Morales-Díaz, J.A. Romero and Luis Torres‐Treviño.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.